We evaluated the diagnostic usefulness of capnography curves during and following a hyperventilation provocation test (HVPT) in the hyperventilation syndrome (HVS). The diagnosis of HVS was based on the Nijmegen questionnaire and on the reproduction of symptoms during HVPT. Capnography curves of 40 HVS patients, 40 non-HVS patients with psycho-somatic complaints and 26 healthy controls were analyzed. There was no difference in baseline end-tidal CO2-level (FETCO2) between the 3 groups. The spontaneous fall of FETCO2 during the adaptation phase was clearly different in HVS patients versus non-HVS patients or controls: -0.12 mmol/l (95% confidence limits -0.18 to -0.06) versus +0.01 mmol/l (95% confidence limits -0.04 to +0.16) (p = 0.002). The 3 minutes FETCO2 recovery ratio and the 5 minutes ratio were not significantly different between the groups. In conclusion, in this study the spontaneous fall of FETCO2 during the adaptation phase of the HVPT was the only valuable part of the capnography test to discriminate between HVS and non-HVS patients.

Download full-text PDF

Source
http://dx.doi.org/10.1080/17843286.1991.11718157DOI Listing

Publication Analysis

Top Keywords

capnography curves
12
non-hvs patients
12
curves hyperventilation
8
hyperventilation provocation
8
provocation test
8
hyperventilation syndrome
8
hvs patients
8
spontaneous fall
8
fall fetco2
8
fetco2 adaptation
8

Similar Publications

Background: Mixed exhaled air has been widely used to determine exhaled propofol concentrations with online analyzers, but changes in dead space proportions may lead to inaccurate assessments of critical drug concentration data. This study proposes a method to correct propofol concentration in mixed air by estimating pulmonary dead space through reconstructing volumetric capnography (Vcap) from time-CO and time-volume curves, validated with vacuum ultraviolet time-of-flight mass spectrometry (VUV-TOF MS).

Methods: Existing monitoring parameters, including time-volume and time-CO curves, were used to determine Vcap.

View Article and Find Full Text PDF
Article Synopsis
  • Capnography, specifically end-tidal CO (ETCO) and the arterial CO-ETCO gap (PaCO-ETCO), is effective in predicting mortality in trauma patients.
  • A systematic review of 17 studies involving 3,445 trauma patients revealed significant differences in ETCO levels and PaCO-ETCO gaps between survivors and those who did not survive.
  • Low ETCO readings (below 30.2 mmHg) and wide PaCO-ETCO gaps correlate with worse outcomes, indicating that these measurements can guide more aggressive treatment for critical patients.
View Article and Find Full Text PDF

Utility of arterial to end-tidal carbon dioxide gradient as a severity index in critical care.

Am J Med Sci

October 2024

Division of Critical Care Medicine, Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, South Korea; Department of Surgery, Korea University College of Medicine, Goryeodae-ro 73, Seongbuk-gu, Seoul 02841, South Korea. Electronic address:

Background: The arterial to end-tidal carbon dioxide gradient (P [a-Et] CO) reveals the ventilation-perfusion (V/Q) status of critically ill patients. V/Q mismatch has several causes and affects the clinical outcomes of critically ill patients. We investigated the relationship between P (a-Et) CO and the clinical outcomes in critically ill patients.

View Article and Find Full Text PDF

Hypoxic burden and sleep hypoventilation in obese patients.

Sleep Med

December 2024

CHU Rouen, Department of Pulmonary, Thoracic Oncology and Respiratory Intensive Care, FR-76000 Rouen, France; Normandie Univ, UNIROUEN, UR 3830 GRVHN, Rouen Institute for Research and Innovation in Biomedicine (IRIB), FR-76000 Rouen, France. Electronic address:

Introduction: Novel biomarkers of hypoxic load have emerged, as sleep apnea-specific hypoxic burden which provides more precise assessment of intermittent hypoxemia severity. Our main objective was to assess the potential benefit of hypoxic burden to identify obesity-related sleep hypoventilation. We hypothesized that hypoxic burden may help diagnose obesity-related sleep hypoventilation better than usual sleep respiratory measures (i.

View Article and Find Full Text PDF

Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

J Clin Monit Comput

December 2024

Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.

Purpose: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive arterial blood pressure monitors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!